github not analyzable

rhinocap/raven-mcp

github

Design intelligence for AI-generated UI — principles, patterns, content, brand, design tokens.

maintainer
rhinocap
license
first seen
2026-06-03
last seen
2026-06-03
releases · 30d
0
short id

Drift inferred · capture-to-capture

No drift recorded — single capability capture; advisories appear once its surface changes.

capabilities 30 tools
transport verified reported listed in the official MCP registry counts 30 tools · 0 res · 0 prompts permission surface via README inference

tools

  • audit_ios_privacy

    Audit Info.plist (or Expo app.json) /PRIVACY.md/entitlements/source — usage-string honesty, ATS, Android permissions, bundled secrets, undisclosed default data-egress

  • audit_ios_screen

    Score a rendered iOS screen from an accessibility/view-hierarchy snapshot — 44pt targets + contrast + rhythm, in points

  • audit_layout

    Evaluate visual rhythm, alignment, and optical balance

  • audit_page

    Audit HTML/CSS against Raven's quality standards

  • audit_rn

    Audit React Native / Expo source — touchable a11y labels, 44/48pt+hitSlop targets, font scaling, SafeAreaView, dark mode, against iOS HIG + Android Material

  • audit_swiftui

    Audit SwiftUI source against Apple HIG — Dynamic Type, semantic colors, 44pt targets, 4/8pt spacing, AccentColor

  • compose_system

    Mix tokens from different systems

  • evaluate_design

    Evaluate a design description against principles

  • generate_design_system

    Generate a custom design system from a brand color

  • generate_service_blueprint

    Render a service blueprint as HTML — current state, or current vs. ideal side-by-side

  • get_brand_principles

    Get brand/visual principles — logo, gradient, imagery, hierarchy, brand-as-system

  • get_brand_system

    Get a full system styled like a well-known brand

  • get_brand_trends

    Get current (2026) brand and visual-design trends with usage guidance

  • get_business_strategy

    Get business/monetization strategies

  • get_checklist

    Get a pre-publish checklist for a UI type

  • get_content_pattern

    Get copy recipes for error messages, empty-state copy, notifications, form validation

  • get_content_principles

    Get UX-writing principles — clarity, active voice, error anatomy, inclusive language

  • get_content_system

    Get a brand's voice attributes, tone shifts, vocabulary, grammar, and content patterns

  • get_d4d_framework

    Get Design for Delight framework templates

  • get_design_system

    Get tokens for a specific design system

  • get_metrics_framework

    Get a product-metrics framework — HEART, AARRR, North Star, conversion funnel, RICE, OKRs

  • get_pattern

    Get proven patterns for a specific UI type

  • get_principles

    Get design principles relevant to a UI context

  • get_research_method

    Get qualitative, quantitative, or usability research methods with protocols and checklists

  • get_service_pattern

    Get a service design pattern — blueprinting, human handoff, signup-as-service, omnichannel, moments of truth

  • get_service_standard

    Get the GOV.UK Service Standard — 14 points for evaluating service quality

  • list_content_systems

    Browse brand voice & tone systems (Mailchimp, GOV.UK, Shopify Polaris, Atlassian)

  • list_design_systems

    Browse available design systems

  • raven_reflect

    Summarize your local Raven usage log to find patterns + gaps

  • search_knowledge

    Search across all principles, patterns, and strategies

code evidence vHEAD · github-tarball
evidence-backed findings quoted directly from the published source artifact — not inferred

last analysis: too-large

No code evidence — the analyzed source reached for no tracked permissions, tools, or hooks.